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多元组件频域空中电磁数据的三维分离和联合反向:合成模型研究
Jun Yang1, Xin Huang1, Liangjun Yan1
1Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan 430100, China.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究介绍了一种强大的3D联合反转方法,用于多组件频域空载电磁 (AEM) 数据. 这种方法提高了与单独的反转相比,更细微的地下结构的恢复,提供了一种新的解释方法.
科学领域:
- 地质物理学 地质物理学
- 电磁主义 电磁主义
- 地质调查地质调查
背景情况:
- 空载电磁 (AEM) 测量对于在具有挑战性的地形上进行高效的勘探至关重要.
- 三维 (3D) AEM反转是详细结构解释的关键.
- 当前的方法通常通过反转单个数据组件来限制结构恢复.
研究的目的:
- 为多元组件频域AEM数据开发一个强大的3D联合倒置方法.
- 为了提高从AEM数据的地下结构解释的分辨率和准确性.
- 为了克服单独组件反转的局限性.
主要方法:
- 使用有限元法与非结构化的四面体网格进行前向建模.
- 应用了有限内存准牛顿 (L-BFGS) 方法来实现高效的大规模联合反转.
- 用合成同位素和异位素模型验证了该方法,包括模拟噪声.
主要成果:
- 与单独的反转相比,3D联合反转成功地恢复了较细的地下结构.
- 该方法在同otropic 和异otropic 场景中都表现出了稳健性.
- 噪音模拟表明了联合逆转方法的可靠性.
结论:
- 开发的3D联合倒置方法为频域AEM数据提供了卓越的结构恢复.
- 这种技术为详细的地下解释提供了一种新且有效的方法.
- 多组件AEM数据的联合反转显著提高了勘探能力.
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